Unmodeled states and uncertain action outcomes in agentic scanning tunneling microscopy

arXiv:2609.27302 · cond-mat.mes-hall, cond-mat.str-el · Submitted 2026-09-23 · Read on arXiv

cond-mat.mes-hall, cond-mat.str-el

Submitted: 2026-09-23

Updated: 2026-09-23

Code: https://github.com/BB-84C/quailbot-pi

Terminology

• APEX — 20× in this paper · explained in 1 episode
• Verification — 5× in this paper · explained in 2 episodes
• Calibration — 4× in this paper · explained in 7 episodes
• Adaptation — 3× in this paper · explained in 1 episode
• Agent Harness — 3× in this paper · explained in 2 episodes
• Core — 3× in this paper · explained in 2 episodes
• Benchmark — 2× in this paper · explained in 2 episodes
• Action Space — 1× in this paper · explained in 1 episode
• Active Learning — 1× in this paper · explained in 6 episodes
• Agentic AI — 1× in this paper · explained in 1 episode
• Agentic Artificial Intelligence — 1× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• Bayesian Optimization — 1× in this paper · explained in 3 episodes
• Embodied AI — 1× in this paper · explained in 2 episodes
• Failure Modes — 1× in this paper · explained in 3 episodes
• Large Language Model (LLM) — 1× in this paper · explained in 3 episodes
• Procedural Knowledge — 1× in this paper · explained in 2 episodes
• Steering — 1× in this paper · explained in 2 episodes

Sources

• Large Language Model-Assisted Superconducting Qubit Experiments
• Qumus: Realization of An Embodied AI Quantum Material Experimentalist
• AIMS: an AI experimentalist turns uncertainty into quantum matter discovery
• Integrating Domain-Specialized Language Models with AI Measurement Tools for Deterministic Atomic-Resolution Experimentation
• A hardware-safety-gated system for LLM-written native ARTIQ control code on a trapped-ion platform
• Agentic AI for Scientific Reasoning in Autonomous Quantum Sensing Experiments

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